Analytics and Data Science - Publications - Faculty & Research - Harvard Business School

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February 2021 (Revised June 2021)
Case

Bairong and the Promise of Big Data

By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist

Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details

Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China

January 2021 (Revised May 2021)
Case

Amazon Shopper Panel: Paying Customers for Their Data

By: Eva Ascarza and Ayelet Israeli

This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details

November 2017
Teaching Note

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery

CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details

July 2022
Supplement

Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

By: Ayelet Israeli

January 2019 (Revised July 2021)
Case

Analytical Space: The Next Frontier?

By: Thomas R. Eisenmann, Jeffrey J. Bussgang and David Lane

With one satellite aloft and in the midst of beta testing in late 2018, Analytical Space founders Justin Oliveira and Dan Nevius turned to critical questions about the pioneering startup’s go-to-market, pricing, and business development strategy. Analytical Space aimed... View Details

Keywords: Pricing Decisions; Demand Validation; Revenue Model; Business Development; Space Tech; Satellites; Earth Observation; Remote Sensing; Business Startups; Emerging Markets; Growth and Development Strategy; Finance; Selection and Staffing; Business Strategy; Aerospace Industry

May 2020
Article

Inventory Auditing and Replenishment Using Point-of-Sales Data

By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos

Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details

Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods

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December 2016 (Revised December 2020)
Course Overview Note

Big Data in Marketing

By: John Deighton and Mike Horia Teodorescu

Keywords: Big Data; Analytics and Data Science; Marketing

Teaching Interest

Harvard Business Analytics Program

By: Michael L. Tushman

The Harvard Business Analytics Program is offered through a collaboration between Harvard Business School (HBS), the John A. Paulson School of Engineering and Applied Sciences (SEAS), and the Faculty of Arts and Sciences (FAS).

Designed for... View Details

February 2017
Case

Yemeksepeti: Growing and Expanding the Business Model through Data

By: William R. Kerr, Gamze Yucaoglu and Eren Kuzucu

In October 2016, Nevzat Aydin, co-founder and CEO of Yemeksepeti, the Turkish online food-ordering company, was looking over the company's quarterly results and projections for the upcoming year with his management team. It had been almost a year and a half since Aydin... View Details

June 2023
Article

How New Ideas Diffuse in Science

By: Mengjie Cheng, Daniel Scott Smith, Xiang Ren, Hancheng Cao, Sanne Smith and Daniel A. McFarland

What conditions help new ideas spread? Can knowledge entrepreneurs’ position and develop new ideas in ways that help them take off? Most innovation research focuses on products and their reference. That focus ignores the ideas themselves and the broader ideational... View Details

Keywords: Innovation Adoption; Natural Language Processing; Knowledge; Science; Innovation and Invention; Knowledge Sharing; Analytics and Data Science

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Article

Core Earnings: New Data and Evidence

By: Ethan Rouen, Eric C. So and Charles C.Y. Wang

Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details

Keywords: Core Earnings; Transitory Earnings; Non-operating Earnings; Quantitative Disclosures; Equity Valuation; Big Data; Business Earnings; Financial Reporting; Valuation; Analytics and Data Science

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Article

Gathering Data for Archival, Field, Survey, and Experimental Accounting Research

By: Robert Bloomfield, Mark W. Nelson and Eugene F. Soltes

In the published proceedings of the ﬁrst Journal of Accounting Research Conference, Vatter (1966) lamented that “Gathering direct and original facts is a tedious and difﬁcult task, and it is not surprising that such work is avoided.” For the 50th JAR Conference,... View Details

Keywords: Archival; Data; Experiment; Empirical Methods; Field Study; Analytics and Data Science; Surveys; Financial Reporting

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February 2018 (Revised October 2019)
Technical Note

The Art and Science of Brand Valuation

Brand valuation, the art and science of calculating the economic value accruing to a firm from its use of an intangible brand asset, yields frustratingly inconsistent, discrepant, and, therefore, controversial results. While it is widely accepted that brands are... View Details

2014
Working Paper

Bridging Science and Technology Through Academic-Industry Partnerships

By: Sen Chai and Willy C. Shih

Scientific research and its translation into commercialized technology is a driver of wealth creation and economic growth. Partnerships to foster the translational processes from public research organizations, such as universities and hospitals, to private firms are a... View Details

Keywords: Innovation; Firm Performance; Public-private Partnership Funding; Translational Research; Small And Medium Enterprises; Partners and Partnerships; Public Sector; Private Sector; Performance; Science-Based Business; Innovation and Invention

December 2022
Article

The Rise of People Analytics and the Future of Organizational Research

By: Jeff Polzer

Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details

Keywords: Organizational Change and Adaptation; Analytics and Data Science; Technology Adoption; Employees

August 2017 (Revised August 2018)
Case

The Oakland Athletics: Strategy & Metrics for a Budget

By: Srikant M. Datar and Caitlin N. Bowler

This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details

Keywords: Data Analysis; Metrics; Data Science; Analytics and Data Science; Analysis; Measurement and Metrics; Competitive Strategy; Organizational Culture; Sports Industry

Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

February 2021 (Revised May 2021)
Case

SafeGraph: Selling Data as a Service

By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover

Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on... View Details

Keywords: Data As A Service; Monetization; Pricing; Business Startups; Analytics and Data Science; Consumer Behavior; Analysis; Business Model; Health Pandemics; Information Industry; United States

Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl

Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details

Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets

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August 2019
Case

Bark Gift Shop Ltd.

By: Susanna Gallani, Jan Bouwens and Peter Kroos

This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details

Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis

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